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In current economic conditions the improvement of investment projecting process is an essential element of efficient control. Investment projecting determines a financial policy of an economic entity as it includes both the development of most profitable means of income acquisition and search for new methods and tools for spare capital investment. In this case the development of the strategy based on investment projecting optimization is an important scientific issue. In the present research matrix games and regression analysis methods are used to make an economic – mathematical control model of an enterprise investment projecting process. The scientific novelty of the research is to develop methods of planned control and to extend the application field of mathematical apparatus of game theory to solve the tasks of optimal employment of recourses under conditions of competitive economic environment. The method to optimize the control of investment projecting suggested in the article allows choosing the best investment projecting strategy. This strategy is considered to be the process of such production output of an enterprise that will be soled with the best guaranteed profitability/risk ratio. The suggested econometric method to choose an optimal control strategy of investment projecting has been used in practice.  Features of the suggested method application have been investigated in the case study of a real object of investment projecting, necessary calculations have been made and the obtained results have been analysed. This analysis has revealed the method efficiency to make control decisions when realizing investment projects. The present method may become a foundation for the development of modern tools for investment projecting control in the tasks of strategic optimization. The research is of practical interest for experts in the field of investment and project planning as well as for the specialists who deal with optimal employment of recourses considering the factors of profitability and risk. The research results may be used by any economic entity that implements investment activity and there is no doubt that they will increase its activity efficiency and as a result its competitiveness. Keywords investment projecting, control optimization, decision-making, control strategies, optimality criteria, algorithm, pay-off matrix, compromise solution, game theory, guaranteed result. References 1. Tochilin O.V. Innovatsionno-investitsionnoe proektirovanie i otsenka effektivnosti investitsionnykh proektov v aviastroitel'nom proizvodstve [Innovative and investment planning and assessment of investment projects efficiency in aircraft manufacturing]. Moscow, Moskovskii Aviatsionnyi Institut Publ., 2014. 192 p. (In Russian). 2. Markovskaya E.I. Organizatsiya finansirovaniya investitsionnykh proektov: teoriya i praktika [Organization of investment projects financing: theory and practice]. Saint Petersburg, Politekhnicheskii Universitet Publ., 2013. 183 p. (In Russian). 3. Karev V.P. Matematicheskoe modelirovanie biznesa – otsenka, investitsionnoe proektirovanie, upravlenie predpriyatiem [Mathematical simulation of business – estimation, investment projecting, enterprise management]. Moscow, Maroseika Publ., 2010. 347 p. (In Russian). 4. Illarionov A., Klimenko E. Portfel' proektov. Instrument strategicheskogo upravleniya predpriyatiem [Project portfolio. The tool of strategic control of an enterprise]. Moscow, Alpina Publ., 2013. 312 p. (In Russian). 5. Mazur I.I., Shapiro V.D. et al. Upravlenie proektami [Projects management]. 6 izd. [6th edition]. Moscow, Omega-L Publ., 2010. 960 p. (In Russian). 6. Meredith G., Mantel S. Upravlenie proektami [Project management]. Saint Petersburg, Piter Publ., 2014. 640 p. (In Russian).7. Avinash D., Nelebaff B. Teoriya igr. Iskusstvo strategicheskogo myshleniya v biznese i zhizni [Game theory. The art of strategic thinking in business and life]. Moscow, Mann, Ivanov i Ferber Publ., 2016. 464 p. (In Russian). 8. Gura E., Mashler M. Ekskurs v teoriyu igr: netipichnye matematicheskie syuzhety [An excursion into the theory of games: atypical mathematical plots]. Moscow, Izdatel'skii Dom «Delo», Rossiiskaya Akademiya Narodnogo Khozyaistva i Gosudarstvennoi Sluzhby Publ., 2017. 320 p. (In Russian). 9. Petrosyan L.A., Mazalov V.V. (Eds.). Recent advances in game theory and applications. Saint Petersburg, European Meeting on Game Theory and Petrozavodsk, Networking Games and Management, 2015. 284 p. (In Russian).10. Mazalov V.V. Matematicheskaya teoriya igr i prilozheniya. Vtoroe izdanie. [Mathematical theory of games and applications. 2nd edition]. Saint-Petersburg-Moscow-Krasnodar, Lan' Publ., 2016. 446 p. (In Russian). 11. Butsenko E.V., Shorikov A.F. Setevoe modelirovanie protsessa upravleniya investitsionnym proektirovaniem i ego prilozheniya [Network modeling of the process of managing investment planning and its applications]. Nauchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskie nauki [St. Petersburg State Polytechnical University Journal. Economics], 2015, no. 6 (233), pp. 233–244. (In Russian). doi: 10.5862/JE.233.24.12. Shorikov A.F., Butsenko E.V. Metodika optimizatsii investitsionnogo proektirovaniya na osnove setevogo modelirovaniya i ee prilozheniya [Investment planning optimization methods based on network modeling and their application]. Vestnik Permskogo universiteta. Seriya. «Ekonomika» [Perm University Herald. Economy], 2015, no. 4 (27), pp. 62–70. (In Russian). 13. Butsenko E.V. Metod kriticheskogo puti kak kriterii optimizatsii protsessa biznes-planirovaniya [The critical path method as a criterion for optimizing the business planning process]. Izvestiya DVFU. Ekonomika i upravlenie [Bulletin of the Fare Eastern Federal University. Economics and Management], 2016, no. 3 (79), pp. 40–50. (In Russian). doi: 10.5281/zenodo.163476.14. Khendersen B.D. Produktovyi portfel' [Product portfolio]. Bostonskaya konsaltingovaya gruppa BCG. Daidzhest [Boston Consulting Group BCG Review], 2008, iss. 02, pp. 7–8. (In Russian).15. Rasiel I.M. Metod McKinsey. Ispol'zovanie tekhnik vedushchikh strategicheskikh konsul'tantov dlya resheniya lichnykh i delovykh zadach [The McKinsey Way: using the techniques of the world's top strategic consultants to help you and your business]. Moscow, Al'pina Publ., 2014. 192 p. (In Russian).16. Draper N., Smith G. Prikladnoi regressionnyi analiz. Mnozhestvennaya regressiya. 3 isd. [Applied regression analysis]. 3th ed. Moscow, Dialectics Publ., 2007. 912 p. (In Russian).17. Orlov A.I. Novaya paradigma analiza statisticheskikh i ekspertnykh dannykh v zadachakh ekonomiki i upravleniya [A new paradigm of analysis of statistical and expert data in problems of economics and management]. Politematicheskii setevoi electronnyi nauchnyi zhurnal Kubanskogo Gosudarstvennogo Agrarnogo Universiteta [Polythematic Online Scientific Journal of Kuban State Agrarian University], 2014, no. 98 (04), pp. 1–21. (In Russian).18. Orlov A.I. O vysokikh statisticheskikh tekhnologiyakh [High statistical technologies]. Politematicheskii setevoi electronnyi nauchnyi zhurnal Kubanskogo Gosudarstvennogo Agrarnogo Universiteta [Polythematic Online Scientific Journal of Kuban State Agrarian University], 2015, no. 105 (01), pp. 1–23. (In Russian).19. Egorova N.E., Torzhevskii K.A. Metody i rezul'taty prognozirovaniya rossiiskogo fondovogo rynka [Methods and results of forecasting the Russian stock market]. Finansovaya analitika: problemy i resheniya [Financial Analytics: Problems and Experience], 2014, no. 39, pp. 2–11. (In Russian).20. Podvalny E.S., Masloboyschikov E.V. Osobennosti ispol'zovaniya neirosetevogo prognozirovaniya finansovykh vremennykh ryadov [Features of neural network prediction of financial time series]. Vestnik Voronezhskogo Gosudarstvennogo Tekhnicheskogo Universiteta [Bulletin of Voronezh State Technical University], 2011, no. 10, vol. 7, pp. 25–29. (In Russian).21. Il'yasov B. G., Makarova E. A., Zimina G. A. Upravlenie realizatsiei investitsionnykh proektov na osnove metodov imitatsionnogo modelirovaniya i neirosetevykh tekhnologii [Managing the implementation of investment projects based on methods of simulation and neural network technologies]. Ufa, GILEM Publ., 2010. 240 p. (In Russian).22. Kim Ch.U., et. al. Luchshaya praktika po strategii [Best practice on strategy]. Moscow, Mann, Ivanov i Ferber Publ., 2014. 880 p. (In Russian).23. Bekvit G. Prodavaya nezrimoe. Rukovodstvo po sovremennomu marketingu uslug [Selling the invisible. A guide to modern marketing services]. Moscow, Al'pina Publ., 2012. 224 p. (In Russian).24. Gorelova G.V., Zakharova E.N., Ginis L.A. Kognitivnyi analiz i modelirovanie ustoichivogo razvitiya sotsial'no-ekonomicheskikh system [Cognitive analysis and simulation of sustainable development of socio-economic systems]. Rostov-na-Donu, Rostovskii Universitet Publ., 2005. 288 p. (In Russian). Acknowledgements The work was conducted with a financial support of Russian Foundation for Basic Research (RFBR) (project № 17-01-00315 “Development of models and methods of monitoring, conditions forecast and optimization of multivariate regional social economic system control based on entropic and minimax approaches”).

OPTIMIZATION STRATEGIES OF GUARANTEED RESULT FOR INVESTMENT PROJECTING PROCESSES